Teaching Diff Eqs (PDF)

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Title: Ten lessons I wish I had learned
Author: Gian-Carlo Rota

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One of many mistakes of my youth was writing a textbook in ordinary differential equations. It
set me back several years in my career in mathematics. However, it had a redeeming feature: it
led me to realize that I had no idea what a differential equation is. The more I teach differential
equations, the less I understand the mystery of differential equations.
One of several unpleasant consequences of writing such a textbook is my being called upon
to teach the sophomore differential equations course at MIT. This course is justly viewed as the
most unpleasant undergraduate course in mathematics, by both teachers and students. Some of
my colleagues have publicly announced that they would rather resign from MIT than lecture in
sophomore differential equations. No such threat is available to me, since I am incorrectly labeled
as the one member of the department who is supposed to have some expertise in the subject, guilty
of writing an elementary textbook still in print.
The Administrative Director of the MIT mathematics department, who exercises supreme authority upon the faculty’s teaching, has only to wave a copy of my book at me, while staring at me
in silence. At her prompting, I bow and fall into line; I will be the lecturer in the dreaded course
for one more year, and I will repeat the mistakes I have been making every year since I first taught
differential equations in 1958.
It is hopeless to expect that I will correct any of my mistakes at this stage of life. To allay my
feelings of guilt, I will resort to a ruse. I will present them to you in the attractive literary form
of the decalogue. The goofs, gaffes, misunderstandings, and prejudices I am about to list are not
exactly hot off the press, and you may find them cloyingly familiar. Why, then, make a public
spectacle of them? Well, I myself always find it gratifying to listen to opinions I agree with, and I
surmise that you may feel likewise as you listen to my tirade.

Some time ago, I received a review copy of Cauchy’s introductory course in differential equations, reprinted by Springer on the anniversary of Cauchy’s death. Cauchy taught his course in the
middle of the nineteenth century, and his lecture notes were written in the attractive, flowing style
in which mathematicians of his time used to write.
It was a pleasure to read familiar topics written up by one of the great mathematicians of the
past century. But it was also a surprise to discover how little the content of the course has changed
since Cauchy. Practically the only change has been the introduction of systems, which have made
their way down the ladder since my days as a graduate student.
As I read Cauchy’s textbook, I realized how much of the material we now teach is obsolete.
The order of presentation of the outworn topics has not been altered. The most preposterous items
Date: April 24, 1997 (delivered at the meeting of the MAA at Simmons College).
Transcribed by Leo Goldmakher. Any errors due to me, not GCR.

are found at the beginning, when the text (any text) will list a number of disconnected tricks that
are passed off as useful, such as exact equations, integrating factors, homogeneous differential
equations, and similarly preposterous techniques. Since it is rare – to put it gently – to find a
differential equation of this kind ever occurring in engineering practice, the exercises provided
along with these topics are of limited scope: as a matter of fact, the same sets of exercises have
been coming down the pike with little change since Euler. Lecturers in the course, most of whom
are unaware of any applications of differential equations beyond those given in elementary texts,
scrupulously follow the traditional order of the material, as if it were a religious rite; their ignorance
of the broader theory of ordinary differential equations makes them sensitive to change.
Why is it that no one has undertaken the task of cleaning the Augean stables of elementary
differential equations? I will hazard an answer: for the same reason why we see so little change
anywhere today, whether in society, in politics, or in science. Vested interests dominate every nook
and cranny of our society, even the society of mathematicians. A revamped elementary differential
equations course would require Professor Neanderthal at Oshkosh College to learn the subject
anew. The fatuous, expensive, multi-colored textbooks that are now cornering the market would
be forced out of print. New textbooks would have to be written. We know what an effort goes
into writing a textbook, and how negatively such an effort is rewarded. No clear-headed young
mathematician will risk ruining his or her career by writing such a book, as I did.
The sophomore course in differential equations will never be reformed. It will die of natural
death, and it will be replaced by several shorter courses that will deal with realistic aspects of
differential equations. It is to be hoped that these new courses will be taught by mathematicians
rather than by engineers: the budget of any mathematics department is entirely dependent on
the number of engineering students enrolled in our elementary courses. Were it not for these
courses, which engineers generously defer to mathematicians, our mathematics departments would
be doomed to extinction.


One of my favorite mathematics books is Boole’s Differential Equations, published at about
the same time as Cauchy’s, and reprinted by that great benefactor of mathematics, the Chelsea
Publishing Company. About half the book is devoted to the solution of the first order differential
equations, with dazzling pyrotechnics that no one has matched since.
None of Boole’s beautiful techniques is of any conceivable use to anyone who deals with differential equations today. Only two of them have survived: separation of variables and changes of
variables. Integrating factors have become a joke, although engineers occasionally put on a show
in defense of them (more about this later). Never in my life have I heard of anyone solving a first
order differential equation by finding an integrating factor. Despite such negative evidence, we
spend one or more lectures on integrating factors, while telling the students with a straight face
that they are important.


This lesson is subdivided into two lessons: first, make sure that the students learn how to solve
linear differential equations with constant coefficients. This is a basic item of mathematical literacy. Even the worst students must learn to solve a linear differential equation of the second order
with constant coefficients. It is one of the teacher’s inescapable duties.
Second, linear differential equations with variable coefficients should be weeded out. Why? For
the following four reasons:
(1) With the exception of the Euler-Cauchy differential equation, namely, the differential equation
d2 y
x2 2 + px + qy = 0,
no other second order linear differential equation can be solved explicitly, unless one introduces special functions. Some thirty or so years ago, Bessel functions were included in
the syllabus, but in our day they are out of the question.
Teaching a subject of which no honest examples can be given is, in my opinion, demoralizing.
(2) One of the most beautiful chapters of mathematics is the Sturm-Liouville theory of second
order differential equations. Theorems on separation of zeros, minimax properties, existence of eigenvalues and eigenfunctions were once thought to have great educational value
and were included in every treatment of differential equations, no matter how elementary.
One day, two realizations came to me as a shock. First, I realized that the beautiful theorems of Sturm and Liouville are of no use whatsoever. To be sure, these theorems have
been a great source of inspiration to research mathematicians: the theory of totally positive
matrices grew out of them, and Chebyshev systems are now practically a chapter in combinatorics. Morse theory is a chapter of topology that grew out of Sturm-Liouville theory.
(3) A worse realization was in store. As we teach second order linear differential equations
with variable coefficients, we have in the back of our minds eigenvalues and eigenfunctions. The spectral theory of nonsingular Sturm-Liouville systems on a finite interval can
be presented by fairly elementary methods, including a proof of completeness of eigenfunctions. Such presentations are still to be found in courses bearing titles like “Mathematical
Methods in Engineering” (and, I must shamefully admit, in my own book). I can assure
you that there is not one instance of a nonsingular Sturm-Liouville eigenvalue problem on
a finite interval that occurs anywhere in mathematics, physics, or engineering. All SturmLiouville systems that occur in mathematics, physics, or engineering are singular, and a
presentation of their theory that pretends to a minimum of rigor requires notions of spectral theory that are beyond not only the first but the second course in differential equations.
To conclude: everything we have always taught about second order linear differential equations with non-constant coefficients is utterly devoid of relevance.
(4) Should we, then, let the students remain blissfully unaware of the existence of linear differential equations with non-constant coefficients? If not, is there anything we can say about
such differential equations at the elementary level? From time to time I succumb to one

of the untapped temptations of the theory of differential equations: differential algebra.
No elementary presentation of this beautiful subject has ever been attempted, to the best
of my knowledge; Cohen’s book of the twenties is the closest, and it is still eagerly (and
secretly) read today. Let me stick my neck out and propose that two results of differential
algebra might be appreciated even by students in an elementary course. I will state one by
way of end of this already long lesson, and reserve the second one for the next lesson. I
have always felt excited when telling the students that even though there is no formula for
the general solution of a second order linear differential equation, there is nevertheless an
explicit formula for the Wronskian of two solutions. The Wronskian allows one to find a
second solution if one solution is known (by the way, this is a point on which you will find
several beautiful examples in Boole’s text). But there is a more fundamental fact, which I
will state in a mathematical form that needs to be bowdlerized if we ever decide to try it
out on an elementary class. It states that every differential polynomial in the two solutions
of a second order linear differential equation which is independent of the choice of a basis
of solutions equals a polynomial in the Wronskian and in the coefficients of the differential equation (this is the differential equations analogue of the fundamental theorem on
symmetric functions, but keep it quiet).
Whatever else the students will need in later life, it is certain that they will have to handle
changes of variables for both first order and second order differential equations. One should spend
some time teaching in wealth of detail relevant changes of variables. Luckily, some of these are
still included in textbooks, though no textbook now in print awards this essential technique the
importance it deserves. Worse, no one realizes that changes of variables are not just a trick; they
are a coherent theory (it is the differential analogue of classical invariant theory, but let it pass).
For second order linear differential equations, formulas for changes of dependent and independent variables are known, but such formulas are not to be found in any book written in this century,
even though they are of the utmost usefulness.
Liouville discovered a differential polynomial in the coefficients of a second order linear differential equation which he called the invariant. He proved that two linear second order differential
equations can be transformed into each other by changes of variables if and only if they have the
same invariant. This theorem is not to be found in any text. It was stated as an exercise in the first
edition of my book, but my coauthor insisted that it be omitted from later editions.
Allow me to state another controversial opinion: existence theorems for the solutions of ordinary
differential equations are not as important as they are cracked up to be. They are “psychological
theorems,” instances of those results of mathematics that make little difference, but which satisfy
our psychological cravings for something to grab. As a matter of fact, the need for proving existence theorems was not felt until the end of the nineteenth century, and I refuse to believe that
someone like Cauchy or Riemann did not think of them. More probably, they thought about the
possibility of proving existence theorems, but they rejected it as inferior mathematics.
Existence theorems would be far more interesting if there existed examples of ordinary differential equations which do not have solutions. (This happens for partial differential equations, where
existence theorems are extraordinarily interesting.)

Uniqueness theorems are a touchier point. I feel guilty when I have to state to the students without proof that every solution of a second order linear differential equation with constant coefficients
is a linear combination of two solutions. Once in a while, I present in class the proof of the fact
that all solutions of the differential equation
y 0 = ay
are of the form y = ceax , but I have never succeeded in making the proof convincing. Most often,
some student will retort with the dreaded question: “So what?” I have resisted the temptation to
give the matrix analogue of this result, which would prove uniqueness for systems, and hence for
all linear differential equations with constant coefficients. I don’t see any way out of this impasse.

Solving linear systems with constant coefficients is the most important technique the students
learn in a differential equations course. No matter what field of study a student will choose in
science or technology, he or she is bound to run into large linear systems. The computerization
of the solution of large systems makes it all the more important that the students should be aware
of the theory, including eigenvalues and eigenvectors of matrices, exponentials of matrices, and
whatever goes with that.
Here again we meet with a lack of relevant examples. A lot of interesting systems with constant coefficients have been discovered in the last thirty years: in control, in economics, in signal
processing, even in mathematics. None of these attractive examples is presently included in introductory texts. At present all examples of matrix systems one finds in such texts are either planar
or else they are artificial.
There are ritualistic items in the chapter on systems that should be ruthlessly weeded out. The
much-trumpeted method of variation of parameters is pathetically useless. It is hard even to assign
problems the students can work out. Let the students learn it properly if they ever learn Feynman
The older version of the method of variation of parameters that people pretended to use in solving
inhomogeneous second order linear differential equations with variable coefficients is perhaps the
worst scandal in the history of ordinary differential equations. It has been copied for centuries,
word for word, from one textbook to the next until the present day, with the same artificial examples
(there are no other examples, by the way). This pathetic argument was pawned off to thousands of
unsuspecting classes before the fundamental role of Green’s functions was recognized; it is still to
be found in several textbooks, and Professor Neanderthal loves it.
I come now to my bˆete noire: integrating factors. The way integrating factors are presented
in textbooks since 1800 is nothing short of scandalous. We have the means to give a rigorous,
enlightening presentation of the method that does not require any hand waving and does not appeal
to yet-to-be-defined “differential forms.” I will take unfair advantage of the time you have granted
me to describe the full extend of the dishonesty involved in the old presentations, and to sketch the
elementary argument that should replace them. The preposterous description of integrating factors

goes as follows. In order to solve the first order differential equation
M (x, y)
N (x, y)
rewrite the differential equation in “differential form” (whatever that means)
M dx + N dy = 0.
We justify this sudden introduction of differentials by saying that this is “just another way or
rewriting the differential equation,” or some equally atrocious lie.
Next, we state without proof that it is always possible to find a function q(x, y) for which the
“differential equation”
q M dx + q N dy = 0
is exact. We then proceed to “solve” the exact differential equation in the usual way. At this point,
some bright student will ask the question: are the differential equations
M dx + N dy = 0
q M dx + q N dy = 0
“the same” or are they “different”? The lecturer is caught red-handed if he or she has previously
said that both are ways of rewriting the one differential equation
M (x, y)
N (x, y)
The lecturer at this point will warn the students that they cannot possibly understand such higher
mathematics, and will order them to take the method at face value, since “it works.” Lecturers
often raise their voices at this point, and students respond by turning to reading the school paper in
This fraudulent explanation demeans the students’ intelligence while insinuating that the lecturer
is in possession of some higher secret that the class is too stupid to share. Not exactly a celebration
of the life of intellect. Now let us see how integrating factors – and, incidentally, exact differential
equations – can be explained simply and rigorously.
Step 1. Together with the differential equation
M (x, y)
N (x, y)
one considers the plane autonomous system
= N (x, y),
= −M (x, y).
It is of the utmost importance to explain the relation between the solutions of the differential
equation and the solutions of the system. The solutions of the system are trajectories, they
are parametric curves endowed with a velocity given by the vector field. The solutions of
the corresponding differential equation are integral curves, and their graphs are the graphs
of the trajectories deprived of velocity. Often, instead of solving the differential equation,
it is more convenient to solve the corresponding autonomous system. Why? Because

there are a great many plane autonomous systems that correspond to the same differential
equation, namely all systems of the form
= q(x, y)N (x, y),
= −q(x, y)M (x, y)
for any function q. For historical reasons, such systems are sometimes written in the quaint
q M dx + q N dy = 0,
but one should bear in mind that this misleading notation is just another way of writing an
autonomous system of differential equations.
Changing the factor q in a system changes the speed on the trajectories, while the integral curves remain the same. This phenomenon can and should be illustrated by striking
geometric examples.
Step 2. After these preliminaries, the students are ready for the question: can we choose the factor
q judiciously so as to be able to solve the system, and hence the differential equation? One
may now appeal to the geometry of vector fields to motivate the choice of an integrating
factor. The integrating factor is now introduced as the factor q that makes the vector field
“best” in any one of several senses, both geometric and analytic, that the teacher may
choose from. Exact differential equations are intuitively understood by the topographic
interpretation of exact vector fields.
I hasten to add that I am not in the least “against” differentials. On the contrary, I believe
that very soon we will be forced to add an elementary course in the calculus of exterior
differential forms to our undergraduate mathematics curriculum. At MIT we are already
under pressure from some engineering departments to do so.
I once asked a colleague of mine why he so liked word problems, and his answer was: “I like
them because one can assign good problem sets.”
My colleague’s answer betrayed a common error of reasoning. A striking instance of this error
occurred in the old Cambridge Tripos before G. H. Hardy did away with it after a sarcastic critique.
Students had to train for years for the Tripos under the guidance of professional trainers. The best
trainers were aware of all the tricks that could appear in a Tripos problem, and would make sure
that their students would employ the right tricks at the right time. The names of winners of the old
Cambridge Tripos are now forgotten; very few mathematicians we have ever heard of ever won the
Cambridge Tripos.
My colleague’s error consisted of believing that the more testable the material, the more teachable it is. A wider spread of performance in the problem sets and in the quizzes makes the assignment of grades “more objective.” The course is turned into a game of skill, where manipulative
ability outweighs understanding.
The word problems that we find in differential equations textbooks are shameful. They are
artificial, dishonest, unrealistic, contrived, repetitive, and irrelevant. I cannot see how a student can
learn anything by being forced to solve snowplow problems or Rube Goldberg flows of salt water
in communicating tanks.
Most students take the differential equations course in order to master techniques to be later
applied in solving the real word problems of their profession. The “word problems” a student of

economics will meet are drastically different from the “word problems” of a student of chemical
engineering. We cannot hope to encompass such a variety of “word problems” under the one
umbrella of Mickey Mouse word problems.
Ordinarily, we motivate the Laplace transform by appealing to initial value problems for linear
differential equations with constant coefficients. But this motivation is rather thin: taking inverse
Laplace transforms is no joke, and initial value problems can be solved in other ways.
I do not know how to properly motivate the Laplace transform; allow me to present some scattered comments.
(1) Insofar as the Laplace transform goes, two radically different uses of the word “function”
are dangerously confused with each other. The first is the ordinary notion of function as a
something that has a graph. The second is the radically different notion of function as density, whether mass density or probability density. For the sake of the argument, let us agree
to call this second kind of function “density function.” Professional mathematicians have
avoided facing up to density functions by a variety of escapes, such as Stieltjes integrals,
measures, etc. But the fact is that the current notation for density functions in physics and
engineering is provably superior, and we had better face up to it squarely.
(2) Density functions are sometimes described by drawing their graphs, but this description
is misleading. The “value” of a density function at a point is a meaningless term. What
has meaning for a density function is the integral of a density function from a to b. Such
an integral gives the mass contained in the interval [a, b], or the probability that a random
variable takes values between a and b.
(3) Once the idea of density functions is hammered in, it is easy to go to the next step, namely,
to give a simple yet rigorous treatment of the Dirac delta function.
Indeed, since the value of a density function at a point is irrelevant, it follows that there
is no reason whatsoever why a density function should have a graph at all. All a density
function needs to have is an integral.
You have a problem if you believe that a “function” that has an integral should also have
a graph. This prejudice should be gotten rid of as fast as possible. A unit mass at the point
c is the simplest density function that does not have a graph. It is defined by stating that any
integral of the Dirac delta function δc (x) over an interval [a, b] will equal 0 if the interval
does not contain the point c, and 1 if the interval contains the point c. From this definition,
all properties of the Dirac delta function are easily derived without any hysterical appeals
to functions taking infinite values. One should illustrate the method by computing the
derivative of the Dirac delta function.
There is nothing wrong with keeping the functional notation for density functions – as
physicists and engineers always did – as long as one bears in mind that density functions
cannot be evaluated, but only integrated.
(4) Whereas ordinary functions are multiplied in the usual way, it makes no physical sense
to multiply density functions. Density functions have another kind of multiplication that
makes sense, namely, convolution. A good way to introduce students to convolution is to

compute the convolution of two density functions each of which is the sum of Dirac delta
functions: the convolution of


δb j


is the density function

(δai + δbj ).


Try it: you’ll like it.
(5) This item is more in the line of a personal confession.
Every time I teach the Laplace transform, I feel a pang of remorse for something I
think I ought to have done and I have not yet succeeded in doing. Without question, the
most remarkable theorem about convolution, and one of the least known, is the Titchmarsh
convolution theorem. In its simplest form, it states that if the convolution of two functions
is identically zero in the interval [0, b], then there exists an a in [0, b] such that one of the
functions is identically zero in the interval [0, a] and the other is identically zero in the
interval [0, b − a]. No elementary proof of this theorem is known. Titchmarsh’s proof
uses high-powered complex variable methods. There is a phony elementary proof due to
Mikusi´nski. I would love to learn the “right” proof of the Titchmarsh convolution theorem
before the end of my days.
What can we expect students to get out of an elementary course in differential equations? I
reject the “bag of tricks” answer to this question. A course taught as a bag of tricks is devoid of
educational value. One year later, the students will forget the tricks, most of which are useless
anyway. The bag of tricks mentality is, in my opinion, a defeatist mentality, and the justifications
I have heard of it, citing poor preparation of the students, their unwillingness to learn, and the
possibility of assigning clever problem sets, are lazy ways out.
In an elementary course in differential equations, students should learn a few basic concepts that
they will remember for the rest of their lives, such as the universal occurrence of the exponential
function, stability, the relationship between trajectories and integrals of systems, phase plane analysis, the manipulation of the Laplace transform, perhaps even the fascinating relationship between
partial fraction decompositions and convolutions via Laplace transforms. Who cares whether the
students become skilled at working out tricky problems? What matters is their getting a feeling for
the importance of the subject, their coming out of the course with the conviction of the inevitability
of differential equations, and with enhanced faith in the power of mathematics. These objectives
are better achieved by stretching the students’ minds to the utmost limits of cultural breadth of
which they are capable, and by pitching the material at a level that is just a little higher than they
can reach.
We are kidding ourselves if we believe that the purpose of undergraduate teaching is the transmission of information. Information is an accidental feature of an elementary course in differential

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